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CEC
2007
IEEE
13 years 11 months ago
A study on the design issues of Memetic Algorithm
— Over the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Partic...
Q. H. Nguyen, Yew-Soon Ong, Natalio Krasnogor
GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
13 years 10 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
EC
2010
157views ECommerce» more  EC 2010»
13 years 4 months ago
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Memetic algorithms with continuous local search methods have arisen as effective tools to address the difficulty of obtaining reliable solutions of high precision for complex cont...
Daniel Molina, Manuel Lozano, Carlos García...
CEC
2011
IEEE
12 years 4 months ago
Towards human-like social multi-agents with memetic automaton
Abstract—Memetics is a new science that has attracted increasing attentions in the recent decades. Beyond the formalism of simple hybrids, adaptive hybrids and memetic algorithms...
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Ch...
CEC
2007
IEEE
13 years 4 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...